References

  1. Kaye, J., Mattek, N., Dodge, H., Buracchio, T., Austin, D., Hagler, S., Pavel, M., and Hates, T.: One Walk a Year to 1000 with a Year: Continuous In-home Unobtrusive Gait Assessment of Older Adults, In Gait Posture, 2012 February: 35(2): 197-202
  2. Pavel M, Jimison HB, Wactlar HD, Hayes TL, Barkis W, Skapik J, Kaye J. The role of technology and engineering models in transforming healthcare. IEEE Rev Biomed Eng., 6:pp 156-77, 2013
  3. Allègre, W., Burger, T., Berruet, P., and Yean-Yves, A.: A Non-intrusive Monitoring System for Ambient Assisted Living Service Delivery, In Donally, M. et al. (Eds.) ICOST 2012, LNCS 7251, pp 148-156, 2012
  4. Skubic, M., Guevara R. D., and Rantz M.: Testing Classifiers for Embedded Health Assistant, In: Donally, M. et al. (Eds.) ICOST 2012, LNCS7251, pp 198-205, 2012
  5. Mellone, S., Tacconi, C. L.Schwickert, J. Klenk, Becker, C., and Chiari, L.: Smartphone-based solutions for fall detection and prevention: the FARSEEING approach, In: Zeitschrift fur Gerontologie und Geriatre, Volume 45, Issue 8, pp 722-727, 2012
  6. Bradford, D., Freyne, J. and Mohan Karunanithi, M.: Sensors on My Bed: The Ups and Downs of In-Home Monitoring, In J. Biswas et al. (Eds.): ICOST 2013, LNCS 7910, pp 10-18, 2013
  7. Lin,  Q., Zhang, D., Li, D., Ni, H., and Zhou, X.: Extracting Intra- and Inter-activity Association Patterns from Daily Routines of Elders, In J. Biswas et al. (Eds.): ICOST 2013, LNCS 7910, pp 36-44, 2013
  8. Liu, C. T., Hsu, S. J., and Chan, C. T.: Activity Recognition and Activity Level Estimation for Context-Based Prompting System of Mild Cognitive Impairment Patients, In J. Biswas et al. (Eds.): ICOST 2013, LNCS 7910, pp 53-60, 2013
  9. Albanese, A., Valtolina, E.: Measuring People Activity with Smart Homes, In J. Biswas et al. (Eds.): ICOST 2013, LNCS 7910, pp 198–204, 2013
  10. Lee, D., and Helal, S.: From Activity Recognition to Situation Recognition, In In J. Biswas et al. (Eds.): ICOST 2013, LNCS 7910, pp 245–251, 2013
  11. Kim, E. and Helal, S.: Fuzzy Logic Based Activity Life Cycle Tracking and Recognition.  In J. Biswas et al. (Eds.): ICOST 2013, LNCS 7910, pp 252-258, 2013




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